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Enhanced fish bending model for automatic tuna sizing using computer vision

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Enhanced fish bending model for automatic tuna sizing using computer vision

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Muñoz-Benavent, P.; Andreu García, G.; Valiente González, JM.; Atienza-Vanacloig, V.; Puig Pons, V.; Espinosa Roselló, V. (2018). Enhanced fish bending model for automatic tuna sizing using computer vision. Computers and Electronics in Agriculture. 150:52-61. doi:10.1016/j.compag.2018.04.005

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/100828

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Title: Enhanced fish bending model for automatic tuna sizing using computer vision
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada
Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Embargo end date: 2020-07-01
Abstract:
[EN] This paper presents a non-invasive fully automatic procedure to obtain highly accurate fish length estimation in adult Bluefin Tuna, based on a stereoscopic vision system and a deformable model of the fish ventral ...[+]
Subjects: Underwater stereo-vision , Computer vision , Fisheries management , Automatic fish sizing , Biomass estimation
Copyrigths: Embargado
Source:
Computers and Electronics in Agriculture. (issn: 0168-1699 )
DOI: 10.1016/j.compag.2018.04.005
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.compag.2018.04.005
Thanks:
This work was supported by funding from ACUSTUNA project ref. CTM2015-70446-R (MINECO/ERDF, EU). This project has been possible thanks to the collaboration of IEO (Spanish Oceanographic Institute). We acknowledge the ...[+]
Type: Artículo

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